Examples of Python code written using AI tools
Here are several Python code examples generated using AI tools, covering different uses, including data processing, network requests, and simple web applications.
Example 1: Data processing
import pandas as pd
# Read CSV file
df = pd.read_csv('data.csv')
# Display the first 5 rows of data
print(df.head())
# Calculate the average value of a column
average_value = df['column_name'].mean()
print(f'Average Value: {average_value}')
Example 2: Network Request
import requests
# Send a GET request
response = requests.get('https://api.example.com/data')
# Check if the request was successful
if response.status_code == 200:
data = response.json()
print(data)
else:
print(f'Error: {response.status_code}')
Example 3: Simple Flask Web Application
from flask import Flask, jsonify
app = Flask(__name__)
@app.route('/hello', methods=['GET'])
def hello():
return jsonify(message="Hello, World!")
if __name__ == '__main__':
app.run(debug=True)
Example 4: Calculating Fibonacci numbers
def fibonacci(n):
a, b = 0, 1
series = []
for _ in range(n):
series.append(a)
a, b = b, a + b
return series
# Print the first 10 Fibonacci numbers
print(fibonacci(10))
Example 5: Image Processing (Using PIL Library)
from PIL import Image, ImageFilter
# Open the image
image = Image.open('image.jpg')
# Apply blur effect
blurred_image = image.filter(ImageFilter.BLUR)
# Save the modified image
blurred_image.save('blurred_image.jpg')
The above examples show basic code for different tasks using Python. AI tools can generate code snippets tailored to your needs based on these patterns, helping you improve your programming efficiency.